Incidence of adverse events in an integrated US healthcare system: a retrospective observational study of 82,784 surgical hospitalizations.

Patient Saf Surg

College of Public Health, Division of Biostatistics, The Ohio State University, 1841 Neil Avenue, Columbus, Ohio 43210, USA.

Published: June 2014

Background: Many health care facilities have developed electronic reporting systems for identifying and reporting adverse events (AEs), so that measures can be taken to improve patient safety. Although several studies have examined AEs in surgical settings, there has not previously been a systematic assessment of the variations in adverse event rates among different types of surgery, nor an identification of the particular types of AEs that are most common within each surgical category. Additionally, this study will identify the AE severity level associated with each of the AE category types.

Methods: This retrospective observational study was conducted at three Midwestern hospitals that are part of a large integrated healthcare system. Data from 2006 through 2009 were analyzed to determine the rates of reported adverse events (per 1,000 hospitalizations involving a surgical procedure) for 96 categories of surgery as classified according to the ICD-9-CM procedural coding system. Univariate and bivariate summary statistics were compiled for AEs by type, severity, and patient age.

Results: During the four-year study period, there was a total of 82,784 distinct hospitalizations involving at least one surgical procedure at these three hospitals. At least one adverse event was reported at 5,368 (6.5%) of those hospitalizations. The mean rate of AEs among all surgical procedure groups was 82.8 AEs per 1,000 hospitalizations. Adverse event rates varied widely among surgical categories with a high of 556.7 AEs per 1,000 hospitalizations for operations on the heart and pericardium. The most common type of adverse event involved care management, followed by medication events and events related to invasive procedures.

Conclusions: Detecting variations in AEs among surgical categories can be useful for surgeons and for hospital quality assurance personnel. Documenting the specific AE incidence rates among the most common types of surgical categories, and determining AE severity and age distributions within surgical categories will enable officials to better identify specific patient safety needs and develop appropriately targeted interventions for improvement.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4055940PMC
http://dx.doi.org/10.1186/1754-9493-8-23DOI Listing

Publication Analysis

Top Keywords

adverse event
16
surgical categories
16
adverse events
12
aes surgical
12
1000 hospitalizations
12
surgical procedure
12
surgical
10
integrated healthcare
8
healthcare system
8
retrospective observational
8

Similar Publications

Background: Acute kidney injury (AKI) is a common complication in hospitalized older patients, associated with increased morbidity, mortality, and health care costs. Major adverse kidney events within 30 days (MAKE30), a composite of death, new renal replacement therapy, or persistent renal dysfunction, has been recommended as a patient-centered endpoint for clinical trials involving AKI.

Objective: This study aimed to develop and validate a machine learning-based model to predict MAKE30 in hospitalized older patients with AKI.

View Article and Find Full Text PDF

Effects of long-term steroid therapy on the results of dental age estimation using pulp/tooth ratio.

J Forensic Odontostomatol

December 2024

Department of Medicine and Health Science "Vincenzo Tiberio", University of Molise, AgeEstimation Project, Campobasso, Italy.

Forensic age estimation is performed by assessing pulp chamber constrictions due to physiological age-related changes in dental radiographs; however, the estimated ages occasionally deviate from the actual ages. In particular, long-term steroid users tend to demonstrate pulp chamber constrictions in all teeth. Because this is uncommon among younger age groups, caution should be exercised when evaluating pulp chamber constriction.

View Article and Find Full Text PDF

Importance: This review aimed to describe research initiatives, evolution, and processes of the Eunice Kennedy Shriver National Institute of Child Health and Human Development-supported Pelvic Floor Disorders Network (PFDN). This may be of interest and inform researchers wishing to conduct multisite coordinated research initiatives as well as to provide perspective to all urogynecologists regarding how the PFDN has evolved and functions.

Study Design: Principal investigators of several PFDN clinical sites and Data Coordinating Center describe more than 20 years of development and maturation of the PFDN.

View Article and Find Full Text PDF

Prediction of the need for surgery in patients with unruptured abdominal aortic aneurysm based on SOFA score.

PLoS One

January 2025

General Surgery, Cancer Center, Department of Vascular Surgery, Zhejiang Provincial People's Hospital, Affiliated People's Hospital, Hangzhou Medical College, Hangzhou, Zhejiang, China.

Objective: This retrospective study aimed to explore the association and clinical value of sequential organ failure assessment (SOFA) score on the predictors of adverse events in patients with unruptured abdominal aortic aneurysms (AAA).

Methods: A total of 322 patients from Medical Information Mart for Intensive Care IV database were enrolled. Logistic regression was conducted to explore the association between SOFA and primary outcome (need for surgery, NFS).

View Article and Find Full Text PDF

Background: Hereditary Angioedema is an autosomal dominant disorder caused by a lack or decrease in the function of the C1 inhibitor. It is a rare disease with low prevalence. Treatment focuses on symptom relief and short- and long-term prevention of acute attacks.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!